SigLiT

Training compute

7.6×10¹⁹ FLOP

Published

Mar 27, 2023

SigLiT is an AI model developed by Google DeepMind (United States), first published in March 2023. It works in the vision domain, on tasks such as image classification.

Training it took an estimated 7.6×10¹⁹ FLOP of compute (estimation method: hardware). Training ran on 4 Google TPU v4 for about 48 hours.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Google DeepMind
Country of organization: United States
Domain: Vision
Task: Image classification
Training compute: 7.6×10¹⁹ FLOP
Compute estimation method: Hardware
Training hardware: Google TPU v4
Chips used: 4
Training time: 48 h
Training power draw: 2.7 kW
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident